OpenAI · Nerf Watch

GPT-5.6 Luna

All models · Nerf Watch

Latest Nerf Watch result

On 2026-10-28, GPT-5.6 Luna scored 47.87 on Nerf Watch's suite 2026.10.1, 2.44 points above its 7-day baseline.

Latest run
47.87 on · suite 2026.10.1
Previous run
34.28 on · suite 2026.10.1
Change from previous run
+13.59
7-day baseline
45.43 · 7 baseline runs
Change from baseline
+2.44
Trend
Higher

A score below the model's own baseline, the mean of its recent runs. One day's dip can be noise, and a lower score is a lower score on this suite, not proof that a provider changed a model.

Data: tokenusage.dev · Read the Nerf Watch method

Score history

2026-07-31 to 2026-10-28, UTC
1030507090Jul 31Oct 28
As a table
GPT-5.6 Luna score history
Day, UTCScoreSuite
47.872026.10.1
34.282026.10.1
18.552026.10.1
46.832026.10.1
50.402026.10.1
54.772026.10.1
47.792026.10.1
65.362026.10.1
44.932026.10.1

Speed

Response time

On , GPT-5.6 Luna's daily response-time probe recorded a median completion time of 2.3 s across three successful responses at high reasoning effort and Standard/default service.

The daily local probe is scheduled at 00:10 UTC. It uses high reasoning effort and three successful fresh single-turn responses to one fixed small task. A day without three successful responses has no point. Lower is faster; dates are UTC.

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01s2s3sOct 15Oct 28

Output speed

On , GPT-5.6 Luna's Nerf Watch run recorded 120 output tokens per second.

Tokens per second from the daily Nerf Watch run, scheduled at 01:00 UTC: total output tokens divided by total completion time across its four fixed tasks. Effort is low, except DeepSeek V4 Pro uses high, its lowest available variant. Service is Standard/default, or Ultrafast for the two Ultrafast lines. Output includes reported reasoning or thinking tokens once; OpenCode’s separately reported reasoning is added to output. Timing includes waiting within the measured turn and excludes setup and process exit. Higher is faster; dates are UTC.

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050100150Oct 15Oct 28

Facts from the research notes

API price

Latest API price record in Research note 002, as of 2026-10-12: $0.20 input and $1.20 output per million tokens. Record dated 2026-07-30.

developers.openai.com · Research note 002

Context window

No exact-model record in these research notes.

Parameters

No exact-model record in these research notes.